Niklaus

Alpha

Alpha is a measure of the active return on an investment, the performance of that investment compared to the S&P500 index, where 0.01 = 1%

  • alpha < 0: the investment has earned too little for its risk (or, was too risky for the return)
  • alpha = 0: the investment has earned a return adequate for the risk taken
  • alpha > 0: the investment has a return in excess of the reward for the assumed risk
Script open-source

Dans le véritable esprit de TradingView, l'auteur de ce script l'a publié en open-source, afin que les traders puissent le comprendre et le vérifier. Bravo à l'auteur! Vous pouvez l'utiliser gratuitement, mais la réutilisation de ce code dans une publication est régie par le règlement. Vous pouvez le mettre en favori pour l'utiliser sur un graphique.

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Les informations et les publications ne sont pas destinées à être, et ne constituent pas, des conseils ou des recommandations en matière de finance, d'investissement, de trading ou d'autres types de conseils fournis ou approuvés par TradingView. Pour en savoir plus, consultez les Conditions d'utilisation.

Vous voulez utiliser ce script sur un graphique ?
study(title="Alpha", shorttitle="Alpha")

////SHOULD BE USED TOGETHER WITH "Beta" INDICATOR
//Alpha is a measure of the active return on an investment, the performance of that investment compared to a suitable market index, where 0.01 = 1%
//alpha < 0: the investment has earned too little for its risk (or, was too risky for the return)
//alpha = 0: the investment has earned a return adequate for the risk taken
//alpha > 0: the investment has a return in excess of the reward for the assumed risk

//Beta Calculation
sym = "SPX500", res=period, src = close, length = input(title="rolling beta window",defval=300, minval=1)
ovr = security(sym, res, src)
ret = ((close - close[1])/close)
retb = ((ovr - ovr[1])/ovr)
secd = stdev(ret, length), mktd = stdev(retb, length)
Beta = correlation(ret, retb, length) * secd / mktd

//Alpha Calculation
y = input(title="alpha period", type=integer, defval=90, minval=1, maxval=1000)
ret2 = ((close - close[y])/close)
retb2 = ((ovr - ovr[y])/ovr)
alpha = ret2 - retb2*Beta
plot(alpha, color=green, style=area, transp=40)